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Record W4406185091 · doi:10.1017/s0008423924000271

Géographie politique de l'opinion publique québécoise et réévaluation du « mystère » de Québec

2024· article· fr· W4406185091 on OpenAlexaffabout
Thomas Gareau‐Paquette, Jean‐François Daoust

Bibliographic record

VenueCanadian Journal of Political Science · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPolitical scienceValuation (finance)EconomicsFinance

Abstract

fetched live from OpenAlex

Résumé Une littérature importante en politique canadienne porte sur le(s) régionalisme(s) à l’échelle du pays, mais les dynamiques régionales intraprovinciales demeurent sous-étudiées. Dans cet article, nous analysons la géographie politique de l'opinion publique au Québec, où l'accent a été mis sur le « mystère de Québec », selon lequel la région de Québec se distingue du reste de la province, par exemple, en affichant des tendances conservatrices plus marquées. Nous produisons l'analyse la plus détaillée à ce jour des variations régionales des attitudes politiques au Québec, en comparant l'électorat de treize régions. Nos résultats mettent en évidence des variations régionales importantes tout en précisant et nuançant notre compréhension du « mystère de Québec ». Par exemple, la région est plus conservatrice sur la dimension économique et moins favorable à l'indépendance du Québec, mais pas plus conservatrice sur les attitudes culturelles. Nous concluons en offrant une perspective renouvelée sur les études régionales, suggérant l'existence d'autres « mystères » régionaux au moins aussi importants.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0040.004
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.285
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Political Science→Same topicCanadian Identity and History→French-language works237,207→